Shan Li
City University of New York
14 Papers
70 Citations
Shan Li is an academic researcher from City University of New York. The author has contributed to research in topics: New product development & Schedule. The author has an hindex of 6, co-authored 12 publications. Previous affiliations of Shan Li include American Express & Philips.
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Papers
Appointment Scheduling Under Time-Dependent Patient No-Show Behavior
TL;DR: In this article, the authors studied how to schedule medical appointments with time-dependent patient no-show behavior and random service times, motivated by their studies of independent datasets from c...
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Customer Influence Value and Purchase Acceleration in New Product Diffusion
TL;DR: The model framework allows a firm to investigate how a firm might accelerate product purchases by providing introductory discount offers to a targeted group of potential adopters at product launch and finds that purchase acceleration frequently leads to a significant increase in total customer value.
The Behavioral Promise and Pitfalls in Compensating Store Managers
Shan Li,Kay-Yut Chen,Ying Rong +2 more
TL;DR: Compensation systems have rapidly been shifting away from a fixed wage contractual payment basis to create incentive compensation contracts to reward hard-working employees.
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How inventory cost influences introduction timing of product line extensions
TL;DR: In this paper, an integrated inventory and diffusion framework is proposed to analyze how inventory cost influences the introduction timing of product-line extensions, considering substitution effect among successive generations, and they show that under low inventory cost or frequent replenishment ordering policy, the optimal introduction time indeed follows the well-known ''now or never� rule.
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•Posted Content
How Inventory Cost Influences Introduction Timing of Product Line Extensions
TL;DR: An integrated inventory (supply) and diffusion (demand) framework is proposed, and it is shown that under low inventory cost or frequent replenishment ordering policy, the optimal introduction time indeed follows the well-known "Now" or "Never" rule.
17